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Jun Miyazaki Lab
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A lab that handles huge amounts of data quickly and delivers the information people are looking for.
AboutAbout the lab
Handling big data fast and smartly.
The Jun Miyazaki Lab studies large-scale information management, including data-oriented large-scale and high-performance computing and cloud computing.
Making use of multicore CPUs, GPUs, and new memory technologies, the lab develops methods for processing large amounts of data efficiently.
The lab also works on techniques for efficiently accessing big data accumulated in cloud storage.
The lab is also advancing research on recommender systems that retrieve the information a user intends from within vast amounts of information.
Key terms
- GPU
- Originally a processor for drawing images. It can perform many simple calculations at the same time, and is used for parallel processing of large amounts of data.
- Cloud storage
- A storage mechanism that connects many computers to hold huge amounts of data together.
- Knowledge graph
- Data that represents relationships between things as a network of points and lines. It is used to choose the items to recommend.
NewsLab news
Prof. Jun Miyazaki receives the title of Fellow of the Institute of Electronics, Information and Communication Engineers (IEICE)
A student wins the DEIM2026 Student Presentation Award
A doctoral student wins the Student Encouragement Award at the WebDB Summer Workshop 2025
A master's student wins the FIT Encouragement Award from the Information Processing Society of Japan (IPSJ)
A paper by Assistant Professor Chang and others is published in an ACM journal on computer architecture
ResearchResearch themes
The Jun Miyazaki Lab mainly conducts research on large-scale information management, including data-oriented large-scale and high-performance computing and cloud computing. Its work covers computing methods that take advantage of the latest hardware, access to big data, and recommender systems.
*Illustrative imageData-Oriented High-Performance Computing
The gap in speed between the CPU and main memory is called the "memory wall," and it continues to widen. Using multicore CPUs, GPUs, and new memory technologies, the lab develops methods that carry out large-scale computation efficiently from both the software and hardware sides.
*Illustrative imageAccess to Big Data
Huge amounts of data are stored in cloud storage, but if the data is used in ways that were not anticipated at the design stage, reading and writing become inefficient. The lab develops techniques that keep access efficient even when usage patterns change.
*Illustrative imageRecommender Systems
The lab studies mechanisms for retrieving the information a user intends from within vast amounts of information. It covers recommendations of shops and songs that suit the situation at hand and recommendations using knowledge graphs, and extends to methods that can process them in practical time.
MembersFaculty
The members of the Jun Miyazaki Lab consist of faculty, researchers, doctoral, master's, and undergraduate students, and exchange students.As of 2026
- ProfessorJun Jun MiyazakiPublications ↗
- Assistant ProfessorChang QiongPublications ↗
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “CSC1941” Alexkisi / CC BY-SA 3.0 (cropped)
- Data-Oriented High-Performance Computing: “A Complex Graphics Card” Nick Stathas / CC BY-SA 4.0 (cropped)
- Access to Big Data: “Seagate ST33232A hard disk inner view” Eric Gaba (Sting - fr:Sting) This image was created with CombineZP by 11 ( It was created out of 11 single images.). / CC BY-SA 3.0 (cropped)
- Recommender Systems: “Buying Old Records (Unsplash)” Seth Doyle sethdoylee / CC0 (cropped)
- Related lab (瀧ノ上正浩研究室): “2T7A4” Yma3591 / CC BY 4.0 (cropped)
- Related lab (鄭研究室): “Programming code” Martin Vorel / CC BY-SA 4.0 (cropped)
- Related lab (渡部研究室): “Printed Circuit Board 2” Balurbala / CC BY-SA 3.0 (cropped)
- Related lab (デファゴ研究室): “Kilobot robot swarm” asuscreative / CC BY-SA 4.0 (cropped)
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